华南理工大学学报(自然科学版) ›› 2015, Vol. 43 ›› Issue (1): 53-58.doi: 10.3969/j.issn.1000-565X.2015.01.009

• 电子、通信与自动控制 • 上一篇    下一篇

基于傅里叶系数插值的短波信道迭代频偏估计

游行远1,2 杨平2 徐彬彬2 
  

  1.  1. 哈尔滨工程大学 信息与通信工程学院, 黑龙江 哈尔滨 150001 ; 2. 武汉船舶通信研究所, 湖北 武汉 430079 
  • 收稿日期:2014-05-06 修回日期:2014-07-31 出版日期:2015-01-25 发布日期:2014-12-01
  • 通信作者: 游行远(1989-),男,博士生,主要从事短波调制解调技术研究 . E-mail:youbatty@163.com
  • 作者简介:游行远(1989-),男,博士生,主要从事短波调制解调技术研究 .
  • 基金资助:

    船舶工业国防科技预研基金资助项目( 11J3.4.2 )

Iterative Frequency Offset Estimation for High-Frequency Channel Based on Interpolation Using Fourier Coefficients

You Xing-yuan1,2 Yang Ping2 Xu Bin-bin2   

  1. 1. College of Information and Communication Engineering , Harbin Engineering University , Harbin 150001 , Heilongjiang , China;2. Wuhan Maritime Communication Research Institute , Wuhan 430079 , Hubei , China 
  • Received:2014-05-06 Revised:2014-07-31 Online:2015-01-25 Published:2014-12-01
  • Contact: 游行远(1989-),男,博士生,主要从事短波调制解调技术研究 . E-mail:youbatty@163.com
  • About author:游行远(1989-),男,博士生,主要从事短波调制解调技术研究 .
  • Supported by:
    Supported by the Defence Advance Research Program of Science and Technology of Ship Industry ( 11J3.4.2)

摘要: 针对短波突发通信中存在的频偏问题,结合短波调解器的波形格式以及低信噪比的信道条件,提出了一种基于傅里叶系数插值的迭代频偏估计算法 . 该算法首先利用离散傅里叶变换( DFT )确定频谱峰值;然后对其结果进行 Jacobsen 插值,通过对插值结果进行误差分析,得出其方差与训练序列长度及信噪比的函数关系,并依此自适应调节其置信度为 0.99999 时的置信区间,将其作为精频偏估计的搜索区间;最后在搜索区间内进行迭代,并利用抛物线插值获取更精确的结果 . 仿真结果表明:对于长度为 128 、 256 、 512 的训练序列,在低信噪比条件下,文中算法均可逼近 Cramer-Rao 下界( CRLB ),特别是在信噪比为 0 dB 时,两次迭代即可使算法的均方误差与 CRLB 的比值达到 1.005 左右 .

关键词: 迭代频偏估计, 误差分析, 置信区间, 离散傅里叶变换, 抛物线插值

Abstract: In order to overcome the frequency offset existing in short-wave ( namely high-frequency , HF ) burst-mode communication , an iterative frequency offset estimation algorithm on the basis of interpolation using Fourier coefficients is proposed , which takes into consideration the waveform of HF modem under low signal-to-noise ratio (SNR).Theproposedestimatoristackledinseveralstages.Firstly , acoarseestimationofpeakfrequencyismade bythe application ofdiscrete Fourier transform ( DFT ) . Secondly , Jacobsen ’ s method is used to interpolate DFT sam-ples , and a bias analysis of the interpolating results is carried out. Then , variance as a function of SNR and training sequence length is obtained , and a confidence interval with a confidence coefficient of 0.99999 , which is used as the searching interval of frequency offset estimation , is adaptively adjusted. Finally , a combination of parabolic interpolation is made with the iterative method to obtain an accurate result through the interval.Simulated results show that the proposed algorithm helps achieve Cramer-Rao low bound ( CRLB ) at low SNR with the training sequences equal to 128 , 256 and 512. Especially , at 0dB , the estimator ’ s mean square error is about 1.005 times that of CRLB only with two iterations.

Key words: iterative frequency offset estimation, bias analysis, confidence interval, discrete Fourier transforms, parabolic interpolation

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